Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Leonardo Mendes Souza"'
Autor:
Jussara Ribeiro, Shi-Huang Chen, Paulo Ricardo Franchi Zulato, Leonardo Mendes Souza, Michel Alves Lacerda, Rodrigo Capobianco Guido
Publikováno v:
International Journal of Wavelets, Multiresolution and Information Processing. :905-912
This paper presents a study on wavelets and their characteristics for the specific purpose of serving as a feature extraction tool for speaker verification (SV), considering a Radial Basis Function (RBF) classifier, which is a particular type of Arti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8cf5ec227a295d0e49924617ef584c2
https://doi.org/10.1142/s0219691310003894
https://doi.org/10.1142/s0219691310003894
Autor:
Michel Alves Lacerda, Jussara Ribeiro, Shi-Huang Chen, Leonardo Mendes Souza, Rodrigo Capobianco Guido, Luciene Cavalcanti Rodrigues, Sylvio Barbon Junior, Lucimar Sasso Vieira, João Paulo Lemos Escola, Paulo Ricardo Franchi Zulato
Publikováno v:
ISM
Discriminative training of Gaussian Mixture Models (GMMs) for speech or speaker recognition purposes is usually based on the gradient descent method, in which the iteration step-size, epsilon, uses to be defined experimentally. In this letter, we der
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8879da397f7d054c2c5bde8a4a76a28b
https://hdl.handle.net/11368/3004528
https://hdl.handle.net/11368/3004528
Autor:
P.C. Fantinato, Luciene Cavalcanti Rodrigues, L.S. Vieira, Shi-Huang Chen, Paulo Rogério Scalassara, Fabrício Lopes Sanchez, Leonardo Mendes Souza, B. Santos, João Paulo Lemos Escola, Carlos Dias Maciel, Rodrigo Capobianco Guido, José Carlos Pereira, S.B. Jonior
Publikováno v:
ISM
Nowadays, fractal analysis has been successfully applied to digital speech processing, particularly for word and phoneme segmentation, which represents one of the fundamental steps in automatic speech recognition systems. The practical use of fractal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ee4f13ab31e941428523fb11f114d5d
https://doi.org/10.1109/ism.2008.123
https://doi.org/10.1109/ism.2008.123